Document selection refinement based on linguistic features for QALC, a Question Answering system
نویسندگان
چکیده
Answering to precise questions requires applying Natural Language techniques in order to locate the answers inside retrieved documents. The QALC system, presented in this paper, participated t o the Question Answering track of the TREC8 and TREC9 evaluations. QALC exploits an analysis of documents based on the search for multi-word terms and their variations. These indexes are used to select a minimal number of documents to be processed. This selection is fully significant when applying further time consuming modules.
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